Tech Lead, Data Platform (Go) — Drive Real-Time Data

Umo

Lisboa

Híbrido

EUR 70 000 - 110 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

24 days annual leave
Paid sick leave
Remote-friendly
Home office stipend
Learning budget
Growth opportunities
Impact & ownership

Resumo da oferta

UMO is building a unified, AI-powered, human fintech platform across fiat, crypto, and investments. You will lead the Data squad, owning the data platform, ETL/ELT pipelines, and real-time services.

The role blends hands-on coding with architecture, data governance, and cross-team collaboration to deliver auditable, scalable data products. You’ll mentor engineers across Go and TypeScript, integrate AI tooling, and ensure production-ready data services that support global teams.

Qualificações

  • Senior engineer with 5+ years leading an engineering team.
  • Proficient in Go with concurrency, performance tuning, and idiomatic backend patterns.
  • Experience building CDC/ELT pipelines and event-driven data architectures (NATS, Kafka).
  • Hands-on knowledge of PostgreSQL and ClickHouse in regulated environments.

Responsabilidades

  • Lead, guide, and grow a high-performing data and backend squad as Tech Lead.
  • Define and evolve blueprints for a high-load data platform with ETL/ELT pipelines and real-time processing in Go.
  • Architect data residency and segregation satisfying regulatory requirements with auditability.
  • Design event-driven data flows and CDC pipelines from operational sources to the warehouse.

Conhecimentos

Go
Data streaming
Engineering leadership
English fluency (B2+)

Ferramentas

PostgreSQL
ClickHouse
NATS
Kafka

Descrição da oferta de emprego

UMO is building a unified, AI-powered, human fintech platform across fiat, crypto, and investments. You will lead the Data squad, owning the data platform, ETL/ELT pipelines, and real-time services.

The role blends hands-on coding with architecture, data governance, and cross-team collaboration to deliver auditable, scalable data products. You’ll mentor engineers across Go and TypeScript, integrate AI tooling, and ensure production-ready data services that support global teams.

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